Bacillus cereus has caused concern in the food industry, and this pathogen causes two distinct syndromes that affect humans, the diarrhea that is caused by non- hemolytic toxins, hemolytic (hbl) and cytotoxin (cytk) and emetics, caused by cereulide toxin. The study of the behavior of microorganisms in the face of various changes in environmental parameters is fundamental to understanding and gaining knowledge of microbial behavior. Thus, predictive models can be used as tools to describe such information, in addition to predicting the growth, survival, or inactivation of microorganisms in the food production chain. Based on this, this work consisted in describing mathematically the microbial multiplication of 11 strains of B. cereus as a function of pH (4.9, 5.5, 6.5, 7.0) and temperature (15 oC, 25 oC, 32 °C and 37 °C), determine the growth curves of the 11 strains of B. cereus in nutrient broth, model the growth curves determining lag time and growth rate using the Baranyi and Roberts primary model and model the rate of growth and lag time as a function of pH and temperature using the modified Secondary Root and Arrhenius- Davey models. The inoculum was standardized by reading the optical density (O.D.) in a spectrophotometer at the wavelength of 630 nm, where the absorbance was adjusted to 0.100, equivalent to 1.0 x 10 8 CFU • mL -1 . After adjustment, dilutions were made in BHI broth to obtain 1.0 x 10 5 CFU • mL -1 . Microbial multiplication was observed using the Elisa equipment with optical density reading at 600 nm until all strains reached the stationary phase. As results, 704 curves were obtained to characterize the growth of the strains. The model of Baranyi and Roberts (1994) fitted the data well for all temperatures studied with coefficient of determination (R2)> 0.95. It can be observed in this work that the highest multiplication rates ( max ) occur at temperatures of 32 °C and 37 °C and at pH values between 6.5 and 7.0 and at 15 °C it is noted that the multiplication rate was lower and the residence time in the lag ( ) phase was higher. Good adjustments of the secondary model of the Square Root were obtained for the parameters max as a function of temperature and pH, with R 2 values higher than 0.75 and less than 0.96 for all cases. With respect to the modified Arrhenius-Davey secondary model, the models can be considered optimal for the parameter data as a function of temperature and pH, with R 2 values greater than 0.88 and less than 0.99. Therefore, considering the above, the models presented in this research have good reliability to predict the growth parameters of the different strains of B. cereus.